PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-08-21 10:22:29.003492+00:00 (UTC)
In US/Central Time, this is 2024-08-21 05:22:29.003492-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/0d4a7b00af93f6cf9859d1fc39158a62f3a579a08f15af1019450cf433f46bdf.png
We are just generating a random time serie here.
../../_images/71317a59e60e25e25d8cebd27a4b6fe63ba4434879d8838e69df6092b430ea70.png
../../_images/70f395c3089104273f436819995fcb4c1929fa14dda5724eee063c52197ef200.png